C# / .NET Developer: backend development and databases

Course overview

Description generated based on course syllabus and open data.

C# is a type‑safe language by Microsoft, and .NET is a cross‑platform ecosystem for web, desktop and cloud. The stack includes ASP.NET Core, data access via Entity Framework, REST/GraphQL integrations and Azure deployment.

C# / .NET developer: who it suits and who it does not

Suitable for

• Beginners aiming for a structured path into C#/.NET backend with hands‑on practice.
• Junior IT learners who need to organize knowledge and build a demo project.
• Practitioners requiring ASP.NET Core, EF Core, testing and CI/CD skills.
• Teams and corporate clients focused on the .NET stack and Azure.

Not suitable for

• Those expecting theory only without practical tasks and code review.
• Those unwilling to work with OOP, design patterns and SQL.
• Those seeking a pure frontend specialization without backend.

Problem → result in C# / .NET development

• Problem: fragmented C# and OOP knowledge. Result: solid C# base, SOLID, collections, async/await.
• Problem: building APIs is hard. Result: ASP.NET Core Web API with auth, logging and validation.
• Problem: data handling and migrations. Result: EF Core, LINQ, migrations, query tuning, transactions.
• Problem: testing and integrations. Result: unit/integration tests, mocking, external services.
• Problem: deployment and operations. Result: Docker containerization, CI/CD, Azure publication.

C# / .NET vs alternatives

• Java/Spring: close to .NET for large systems; .NET often simpler in Windows/Azure ecosystems.
• Node.js/TypeScript: fast for I/O‑heavy services; .NET offers strong typing and high performance.
• Python/Django: great for rapid prototypes; .NET scales well for high‑load scenarios.
• Go: minimal and concurrent; .NET provides a richer ecosystem and mature framework.

Outcomes after mastering C# / .NET

• Backend architecture understanding: layers, DI/IoC, configuration, logging.
• Building REST APIs in ASP.NET Core with authorization (JWT/OAuth).
• Database skills: EF Core, PostgreSQL/SQL Server, migrations, indexes.
• Integrations: third‑party APIs, caches (Redis), queues (as needed).
• Testing: NUnit/xUnit, integration scenarios, coverage of critical paths.
• Infrastructure: Git, Docker, basic CI/CD, deployment to Azure or containers.
• A portfolio project with OpenAPI/Swagger documentation.